Deloitte has launched a new Agentic AI Centre of Excellence (CoE) for the Asia-Pacific region to help businesses scale advanced AI systems that can think and act independently. With key hubs in India, Malaysia, and Singapore, the CoE is designed to support companies looking to move beyond basic automation. 

It is also deploying AI agents that can make decisions, run operations, and improve over time, all with minimal human input. Deloitte says the centre is already backing a $1 billion pipeline of AI transformation projects and is part of its broader global push into enterprise-grade autonomy.

Built for Speed: From Ideas to Execution

A standout feature of the CoE is its ability to help organizations move quickly from concept to deployment. Through structured processes, Deloitte enables businesses to go beyond pilots and implement agentic systems at scale. The CoE unifies AI tools and frameworks to cut development time while ensuring strong performance and governance.

Central to this capability is Zora AI™, Deloitte’s proprietary platform built in collaboration with NVIDIA. The stack enables agentic AI across functions, automating decisions and actions with minimal human input. Zora AI is cloud-native and facilitates edge integration, and businesses can easily scale AI applications across departments and regions.

How will this transform the Business Models?

The introduction of this CoE reflects a larger shift in how companies are embracing AI, not as a supporting tool, but as a driver of business model transformation. Deloitte’s new offering is backed by 120+ dedicated professionals and supported by a broader network of 6,000 AI experts across Asia-Pacific. The goal: help clients implement digital agents that manage end-to-end tasks and create intelligent, self-improving workflows.

Key benefits include:

Operational flexibility: Digital agents can take over entire business functions, from procurement to billing, reducing manual effort and errors.

Real-time responsiveness: These systems process complex datasets in real time, supporting faster decisions at all levels.

Built-in oversight: All deployments follow Deloitte’s Trustworthy AI™ principles, ensuring compliance, transparency, and ethical safeguards.

Leaders at Deloitte believe the CoE is not just a delivery center, it’s an innovation hub. Sathish Gopalaiah, President Technology & Transformation at Deloitte South Asia, said the Centre reflects how businesses are moving beyond experimentation and embedding autonomy into core systems.

Meanwhile, Saurabh Kumar, Partner at Deloitte India, underscored India’s unique role: with its digital public infrastructure and engineering talent, the country is well-positioned to build domain-specific agentic solutions that align with both business needs and governance standards.

A Strategic Move for Regional and Global Enterprises

For technology and business executives, this initiative arrives at a pivotal time. While generative AI has helped create content and insights, agentic AI goes further, bringing autonomy to execution, process optimization, and systems control.

Here’s why this matters now:

New architecture for work: AI agents shift the nature of enterprise operations, handling routine decisions and allowing human workers to focus on innovation and strategic initiatives.

Faster adaptation: Businesses using agentic systems are better prepared to adjust rapidly in response to market changes, customer behavior, and supply chain shifts.

Future-proof design: As these systems learn and evolve, they reduce the need for constant reengineering, making them ideal for complex, growing organizations.

The Asia-Pacific region is emerging as a key location for advanced AI deployment. Deloitte’s investment here reflects the strength of regional talent, digital maturity, and diverse industry ecosystems. Scalable AI is in high demand across sectors like manufacturing and banking. It is driving the need for ethical, rapid, structured deployments that the CoE delivers.

More than a Tech Expansion

Deloitte’s Agentic AI Centre of Excellence is more than a tech expansion – it signals a strategic shift in enterprise AI growth. Deloitte combines advanced platforms, regional insights, and ethical AI to help businesses shift from static automation to scalable intelligence.

As companies aim to be more agile, cost-efficient, and data-driven, this initiative provides a practical path forward. The future of business operations will rely not just on data, but on AI agents that think, act, and evolve. As Asia-Pacific drives this transformation, Deloitte empowers enterprises to lead confidently in today’s era of autonomous intelligence.

FAQs

1. What is Deloitte’s Agentic AI Centre of Excellence (CoE)?

Deloitte’s Agentic AI CoE in Asia-Pacific focuses on building and scaling autonomous systems to drive enterprise-wide transformation with agentic AI. It connects over 6,000 experts across India, Malaysia, and Singapore to support projects valued at over US $1 billion.

2. What does “Agentic AI” mean?

Agentic AI refers to intelligent digital agents that can act independently, adapt to changing data, make decisions in real time, and improve over time without manual intervention. These systems manage end-to-end workflows on their own, going beyond normal automation.

3. How is this CoE different from other AI hubs?

Unlike general AI centers, Deloitte’s CoE focuses on enterprise-ready, autonomous systems with strong governance, ethical standards, and real-world deployment. It also integrates deeply with Deloitte’s global Agentic AI network and regional industry expertise.

4. Which countries are involved in the APAC CoE?

Located in India, Malaysia, and Singapore, the CoE leverages strong digital infrastructure and cross-industry tech expertise.

5. What is Zora AI™, and what role does it play?

Zora AI™ is Deloitte’s in-house agentic AI stack, powered by NVIDIA. It enables rapid prototyping and deployment of digital agents across functions like finance, procurement, supply chain, and marketing. It’s cloud-native and integrates easily with enterprise tech environments.

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